David W. Franklin
Cognitive Neuroscience · 2001–2011
A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 49 citations into it; #5,887 of 10,852 by trust here, #3,098 by citations
- Social Psychology — 34 citations into it
- Biomedical Engineering — 16 citations into it; #5,356 of 10,734 by trust here, #4,247 by citations
- Control and Systems Engineering — 11 citations into it; #8,136 of 8,257 by trust here, #2,782 by citations
- Physical Therapy, Sports Therapy and Rehabilitation — 8 citations into it
Whom David W. Franklin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- D. M. Wolpert
- Tamer Basar
- Reza Shadmehr
- E. Todorov
- David Alais
- Etienne Burdet
- Mitsuo Kawato
- Kelvin E. Jones
- Konrad Paul Kording
- Opher Donchin
Who trusts David W. Franklin overall
- D. M. Wolpert
- Stephen H. Scott
- Etienne Burdet
- Brenda D. Houck
- Rieko Osu
- H. D. den Ouden
- Markus Ullsperger
- Mitsuo Kawato
Papers from David W. Franklin's perspective
Ordered by how strongly the researchers David W. Franklin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- The central nervous system stabilizes unstable dynamics by learning optimal impedance (Nature)
- The co-ordination and regulation of movements
- Optimal feedback control as a theory of motor coordination (Nature Neuroscience)
- Learning of action through adaptive combination of motor primitives (Nature)
- Signal-dependent noise determines motor planning
- Sources of signal-dependent noise during isometric force production. (Journal of Neurophysiology)
- A hierarchical neural-network model for control and learning of voluntary movement (Biological cybernetics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Quantifying Generalization from Trial-by-Trial Behavior of Adaptive Systems that Learn with Basis Functions: Theory and Experiments in Human Motor Control (Journal of Neuroscience)
Their papers
- The central nervous system stabilizes unstable dynamics by learning optimal impedance (2001) — 1,160 citations
- Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment (2007) — 327 citations
- CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm (2008) — 340 citations
- Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. (2002) — 409 citations
- Computational mechanisms of sensorimotor control. (2011) — 687 citations
- Motor interference between Humans and Humanoid Robots: Effect of Biological and Artificial Motion (2005) — 87 citations